纺织学报 ›› 2017, Vol. 38 ›› Issue (08): 68-74.doi: 10.13475/j.fzxb.20160903807

• 纺织工程 • 上一篇    下一篇

基于碳纳米线传感器的三维六向编织复合材料内部损伤定位

  

  • 收稿日期:2016-09-22 修回日期:2017-01-19 出版日期:2017-08-15 发布日期:2017-08-10

Internal damage localizationof three-dimensional six-directional braided composites based on carbon nanowire sensors

  • Received:2016-09-22 Revised:2017-01-19 Online:2017-08-15 Published:2017-08-10

摘要:

为研究三维编织复合材料的实时结构健康状态监控,针对三维六向编织复合材料编织结构,采用三维四步六向编织方法将碳纳米线传感器以轴向纱和六向纱形式嵌入复合材料中,提出了一种构建智能三维复合材料的方法,建立了基于碳纳米线的三维编织复合材料试件内部损伤监测系统。基于碳纳米线测量的电阻值矩阵,采用四分矩阵奇异值分解方法分析信号矩阵的主要特征,计算试件内部的损伤准确位置。实验采用5种不同类型损伤试件进行分析,结果表明,该方法计算的试件内部损伤位置与实际损伤一致,测量的损伤位置坐标误差小于1。该研究可为智能三维编织复合材料的健康监测发展提供理论基础。

关键词: 三维六向编织复合材料, 碳纳米线传感器, 内部缺陷, 无损检测, 奇异值分解

Abstract:

In order to strdy the structural health monitoring of three-dimensional (3-D) braided composites in real-time, a method for constructing smart 3-D braided composites was proposed. The method is based on the structure of three-dimensional six-direction braided composites.In the process, carbon nanowire sensors were embedded into the composite in the form of axial yarn and sixth direction yarn by three-dimensional four-step and six-directional braiding. The internal damage monitoring system of 3-D braided composites based on carbon nanowires was established. The main characteristics of resistance value matrix measured by  carbon nanowires were analyzed using singular value decomposition of four partitioned matrix. The exact internal damage positions of samples were calculated  using main characteristics of the matrix. Five different types damage samples were aadopted in experiments. The experimental results show that the internal damage localization of samples by the method are consistent with the actual damage. The damage location coordinate error is less than 1. This study will provide a theoretical basis for the development of the structural health monitoring of smart 3-D braided composites.

Key words: three-dimensional six-directional braided composite, carbon nanowire sensor, interior danage, nondestructive testing, singular value deconposition

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